Deployment with 1 worker always consumes 0.1 cpu

[SnoozeFreddo]

A basic deployment on AWS shows that socketify consumes 0.11-0.12 cpus while idle. The same applies locally while other applications almost don't consume any cpu at all.

[goteguru]

Confirmed. Exact figures depends on the hardware of course. In my case (oracle cloud / AMD EPYC) single process eats as high as ~4-8% while idle! In comparison same code with FastAPI/uvicorn consumes about 0.1-0.2% (while idle).

That's pretty high... (doesn't seem to be scalable).
(idle cpu usage is the same with pypy and cpython)

[leunga1000]

I see this too, about .1 cpus consistently

[goteguru]

I see this too, about .1 cpus consistently

Author is aware of the problem, it might be a good idea to add some kind of config option.
For now, you can modify the source to reduce the idle load (in expense of reactivity after sleeping).

Look for Loop._keep_alive() here and increase the relaxed state callback time from 0.001 to something sensible according to you use-case:
https://github.com/cirospaciari/socketify.py/blob/main/src/socketify/loop.py

[leunga1000]

Thanks for this, really helps! I have patched the method locally to reduce the cpu usage and will see how it affects functionality and performance.